Multi-Objective Optimization of Fiber Laser Cutting of Stainless-Steel Plates Using Taguchi-Based Grey Relational Analysis

Stainless-steel has become a widely preferred material type in the marine, aerospace, sanitary, industrial equipment, and construction industries due to its superior corrosion resistance, high mechanic properties, strength, formability, thermal electrical conductivity. In this study, multi-objective optimization method based on grey relational analysis was employed optimize fiber laser-cutting parameters of cutting speed, focal position, frequency, duty cycle. Surface roughness kerf width, which are two most important that determine quality, were simultaneously optimized. order assign optimum level each parameter individually, Taguchi technique applied. The surface morphology examined according grade with 3D optical profilometer, maps surfaces created. According results achieved using Analysis Variance (ANOVA), it seen affected width cycle, contribution rate 49.01%, 31.2%. Frequency terms multiple responses, 18.55%. Duty cycle position second third effective parameters, respectively. It determined values for minimum could be obtained laser 20 mm thick AISI 304L (DIN EN 1.4301) 310 mm/min −11 105 Hz 60%